Pythonbeginner
Automated AI Powered AWS Threat Detection System using CloudTrails, GuardDuty, Lambda and SNS
This project builds an automated AI threat detection and incident response pipeline on AWS by leveraging Amazon GuardDuty to identify malicious activities, such as cryptocurrency mining or unauthorized access. Once a threat is detected, Amazon EventBridge routes the event to a custom AWS Lambda function that parses the data and enriches the alert with specific remediation steps. Finally, the system utilizes Amazon SNS to deliver these formatted security warnings directly to administrators via email and SMS notifications.
11 lectures
What You Will Learn
How to enable and utilize Amazon GuardDuty and CloudTrail to actively monitor an AWS environment for malicious activity
How to build a serverless incident response pipeline using Amazon EventBridge to trigger custom Python Lambda functions based on specific security findings.
How to configure secure IAM roles for service communication and use Amazon SNS to dispatch real-time remediation alerts via email and SMS.
System Architecture
High-level architecture overview of the Automated AI Powered AWS Threat Detection System using CloudTrails, GuardDuty, Lambda and SNS .
What You'll Build
- An Amazon EventBridge rule that automatically captures GuardDuty security findings and routes them directly to a custom AWS Lambda function.
- A Python-based Lambda function that processes incoming security alerts and attaches specific, actionable remediation advice based on the threat category (such as unauthorized access or cryptocurrency mining).
- An Amazon SNS topic with active email and SMS subscriptions to deliver formatted, real-time security warnings directly to administrators.
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Krish AI
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